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Hindsight Experience Replay
v1v2v3 (latest)

Hindsight Experience Replay

5 July 2017
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Hindsight Experience Replay"

40 / 1,340 papers shown
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSLOffRL
295
111
0
12 Jun 2018
Learning Self-Imitating Diverse Policies
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
168
75
0
25 May 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
615
917
0
21 May 2018
Hierarchical Reinforcement Learning with Hindsight
Andrew Levy
Robert Platt
Kate Saenko
224
92
0
21 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
300
275
0
21 May 2018
Reward Learning from Narrated Demonstrations
Reward Learning from Narrated Demonstrations
H. Tung
Adam W. Harley
Liang-Kang Huang
Katerina Fragkiadaki
LM&RoSSL
214
31
0
27 Apr 2018
Deep Reinforcement Learning to Acquire Navigation Skills for
  Wheel-Legged Robots in Complex Environments
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments
Xi Chen
Ali Ghadirzadeh
John Folkesson
Patric Jensfelt
206
45
0
27 Apr 2018
Zero-Shot Visual Imitation
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
264
318
0
23 Apr 2018
Universal Planning Networks
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
189
146
0
02 Apr 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen
S. Risi
OffRL
157
20
0
19 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja
Vitchyr H. Pong
Aurick Zhou
Murtaza Dalal
Pieter Abbeel
Sergey Levine
270
244
0
19 Mar 2018
Composable Planning with Attributes
Composable Planning with AttributesInternational Conference on Machine Learning (ICML), 2018
Amy Zhang
Adam Lerer
Sainbayar Sukhbaatar
Rob Fergus
Arthur Szlam
359
67
0
01 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Learning by Playing - Solving Sparse Reward Tasks from ScratchInternational Conference on Machine Learning (ICML), 2018
Martin Riedmiller
Agrim Gupta
Thomas Lampe
Michael Neunert
Jonas Degrave
T. Wiele
Volodymyr Mnih
N. Heess
Jost Tobias Springenberg
324
482
0
28 Feb 2018
Computational Theories of Curiosity-Driven Learning
Computational Theories of Curiosity-Driven Learning
Pierre-Yves Oudeyer
202
72
0
28 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and
  Request for Research
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
...
Joshua Tobin
Maciek Chociej
Peter Welinder
Vikash Kumar
Wojciech Zaremba
302
618
0
26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Temporal Difference Models: Model-Free Deep RL for Model-Based ControlInternational Conference on Learning Representations (ICLR), 2018
Vitchyr H. Pong
S. Gu
Murtaza Dalal
Sergey Levine
OffRL
313
255
0
25 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided
  Exploration
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Emmy Liu
Kelvin Guu
Panupong Pasupat
Tianlin Shi
Abigail Z. Jacobs
OnRL
217
281
0
24 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent
Unicorn: Continual Learning with a Universal, Off-policy Agent
D. Mankowitz
Augustin Žídek
André Barreto
Dan Horgan
Matteo Hessel
John Quan
Junhyuk Oh
H. V. Hasselt
David Silver
Tom Schaul
CLLOffRL
205
48
0
22 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement
  Learning Algorithms
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
Cédric Colas
Olivier Sigaud
Pierre-Yves Oudeyer
320
166
0
14 Feb 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
431
235
0
13 Feb 2018
ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks
ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks
Tae-Hoon Kim
Jonghyun Choi
345
9
0
03 Jan 2018
RLlib: Abstractions for Distributed Reinforcement Learning
RLlib: Abstractions for Distributed Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2017
Eric Liang
Richard Liaw
Philipp Moritz
Robert Nishihara
Roy Fox
Ken Goldberg
Joseph E. Gonzalez
Michael I. Jordan
Ion Stoica
OffRLAI4CE
308
178
0
26 Dec 2017
Learning Multi-Level Hierarchies with Hindsight
Learning Multi-Level Hierarchies with Hindsight
Andrew Levy
George Konidaris
Robert Platt
Kate Saenko
238
82
0
04 Dec 2017
A Deeper Look at Experience Replay
A Deeper Look at Experience Replay
Shangtong Zhang
R. Sutton
OffRLVLM
391
307
0
04 Dec 2017
Divide-and-Conquer Reinforcement Learning
Divide-and-Conquer Reinforcement Learning
Dibya Ghosh
Avi Singh
Aravind Rajeswaran
Vikash Kumar
Sergey Levine
OffRL
235
131
0
27 Nov 2017
Hindsight policy gradients
Hindsight policy gradients
Paulo E. Rauber
Avinash Ummadisingu
Filipe Wall Mutz
J. Schmidhuber
298
74
0
16 Nov 2017
Asymmetric Actor Critic for Image-Based Robot Learning
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
OffRL
243
450
0
18 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
572
1,546
0
18 Oct 2017
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from
  Simulation
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
Kuan Fang
Yunfei Bai
Stefan Hinterstoißer
Silvio Savarese
Mrinal Kalakrishnan
OOD
209
126
0
17 Oct 2017
Emergent Complexity via Multi-Agent Competition
Emergent Complexity via Multi-Agent Competition
Trapit Bansal
J. Pachocki
Szymon Sidor
Ilya Sutskever
Igor Mordatch
303
418
0
10 Oct 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
555
855
0
28 Sep 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning
  and Demonstrations
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran
Vikash Kumar
Abhishek Gupta
Giulia Vezzani
John Schulman
E. Todorov
Sergey Levine
470
1,270
0
28 Sep 2017
Shared Learning : Enhancing Reinforcement in $Q$-Ensembles
Shared Learning : Enhancing Reinforcement in QQQ-Ensembles
Rakesh R Menon
Balaraman Ravindran
76
0
0
14 Sep 2017
Learning Generalized Reactive Policies using Deep Neural Networks
Learning Generalized Reactive Policies using Deep Neural Networks
E. Groshev
Maxwell Goldstein
Aviv Tamar
Siddharth Srivastava
Pieter Abbeel
298
127
0
24 Aug 2017
Intrinsically Motivated Goal Exploration Processes with Automatic
  Curriculum Learning
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum LearningJournal of machine learning research (JMLR), 2017
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
398
199
0
07 Aug 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous
  Control Tasks Simultaneously
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Serkan Cabi
Sergio Gomez Colmenarejo
Matthew W. Hoffman
Misha Denil
Ziyun Wang
Nando de Freitas
179
31
0
11 Jul 2017
Experience Replay Using Transition Sequences
Experience Replay Using Transition Sequences
Thommen George Karimpanal
Roland Bouffanais
OffRL
136
15
0
30 May 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
531
555
0
17 May 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
985
1,750
0
25 Jan 2017
Factored Contextual Policy Search with Bayesian Optimization
Factored Contextual Policy Search with Bayesian Optimization
Peter Karkus
A. Kupcsik
David Hsu
Wee Sun Lee
OffRL
206
11
0
06 Dec 2016
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